| A Radiomics-Boosted Deep-Learning Model for COVID-19 and Non-COVID-19 Pneumonia Classification Using Chest X-ray Image | Jul 19, 2021 | Pneumonia DetectionSpecificity | —Unverified | 0 |
| Evaluating the Robustness of Self-Supervised Learning in Medical Imaging | May 14, 2021 | Organ SegmentationPneumonia Detection | —Unverified | 0 |
| Reducing Labelled Data Requirement for Pneumonia Segmentation using Image Augmentations | Feb 25, 2021 | Image AugmentationPneumonia Detection | —Unverified | 0 |
| Pneumonia Detection on Chest X-ray using Radiomic Features and Contrastive Learning | Jan 12, 2021 | Contrastive LearningDeep Learning | —Unverified | 0 |
| Deep Neural Networks for COVID-19 Detection and Diagnosis using Images and Acoustic-based Techniques: A Recent Review | Dec 10, 2020 | Pneumonia Detection | —Unverified | 0 |
| An Approach to Intelligent Pneumonia Detection and Integration | Dec 7, 2020 | Pneumonia Detection | —Unverified | 0 |
| FPAENet: Pneumonia Detection Network Based on Feature Pyramid Attention Enhancement | Nov 16, 2020 | Pneumonia Detection | —Unverified | 0 |
| An ensemble-based approach by fine-tuning the deep transfer learning models to classify pneumonia from chest X-ray images | Nov 11, 2020 | Pneumonia DetectionRespiratory Failure | —Unverified | 0 |
| MetaCOVID: A Siamese neural network framework with contrastive loss for n-shot diagnosis of COVID-19 patients | Oct 17, 2020 | Contrastive LearningCOVID-19 Diagnosis | CodeCode Available | 0 |
| Data Valuation for Medical Imaging Using Shapley Value: Application on A Large-scale Chest X-ray Dataset | Oct 15, 2020 | Data ValuationPneumonia Detection | —Unverified | 0 |
